Abstract: Systems and methods for improved data conversion and distribution are provided. A data subscription unit is configured to receive data and information from a plurality of data source devices. The data subscription unit is in communication with a virtual machine that includes backtesting utility configured to generate backtesting data using one or more statistical models and one or more non-statistical models. The backtesting utility may translate the backtesting results into one or more interactive visuals, and generate a graphical user interface (GUI) for displaying the backtesting results and the one or more interactive visuals on a user device. The backtesting utility may update one or more of the displayed backtesting results and the one or more interactive visuals without re-running the modeling steps.

Abstract: Systems and methods for improved data conversion and distribution are provided. A data subscription unit is configured to receive data and information from a plurality of data source devices. The data subscription unit is in communication with a virtual machine that includes backtesting utility configured to generate backtesting data using one or more statistical models and one or more non-statistical models. The backtesting utility may translate the backtesting results into one or more interactive visuals, and generate a graphical user interface (GUI) for displaying the backtesting results and the one or more interactive visuals on a user device. The backtesting utility may update one or more of the displayed backtesting results and the one or more interactive visuals without re-running the modeling steps.

Abstract: Systems and methods for improved data conversion and distribution are provided. A data subscription unit is configured to receive data and information from a plurality of data source devices. The data subscription unit is in communication with a virtual machine that includes backtesting utility configured to generate backtesting data using one or more statistical models and one or more non-statistical models. The backtesting utility may translate the backtesting results into one or more interactive visuals, and generate a graphical user interface (GUI) for displaying the backtesting results and the one or more interactive visuals on a user device. The backtesting utility may update one or more of the displayed backtesting results and the one or more interactive visuals without re-running the modeling steps.

Abstract: Systems and methods for improved data conversion and distribution are provided. A data subscription unit is configured to receive data and information from a plurality of data source devices in a plurality of data formats. The data subscription unit is in communication with a virtual machine configured to generate projected data for sparse electronic data. The virtual machine and a data distribution device distribute the projected data to remote user devices.

Abstract: An exemplary aspect comprises a computer system having one or more processors, comprising: a receiving component that receives valuation data for a security; a filtering component that filters the received valuation data to remove outlier values according to a predetermined set of parameters; a transaction cost adjustment component calculates a transaction cost adjustment coefficient based on a first transaction cost adjustment regression calculation of the processed valuation data, and determines a final transaction cost adjustment value based on the transaction cost adjustment coefficient; a market adjustment component that calculates a market adjustment coefficient based on a first market adjustment regression calculation of the processed valuation data, and determines a final market adjustment value based on the market adjustment coefficient; and an output component that outputs a pricing estimation of the security based on the final transaction cost adjustment value and the final market adjustment value.

Abstract: Systems and methods for data conversion and distribution. A data collection system receives data from plural data sources; extracts data values for each data source from the data; classifies each extracted value among categories; and stores each extracted value in a database according to a data mapping based on a category index, such that the extracted value is stored according to the associated category index. A data performance system retrieves, for each category, data values associated with the category and a predetermined period, by querying the database based on the category index; and runs, for each category, the retrieved data through statistical algorithms, to generate data performance metrics representative of the data from all of the data sources. A data distribution system generates a predictive performance metric for further data based on a comparison between the further data and the data performance metrics for at least one category.